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Computational molecular evolution

Ziheng Yang - Personal Name;

Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. The book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivations and implementation details, as well as numerous illustrations, worked examples, and exercises.


Availability
#
Tandon / Reserved Collection 572.8 Zih c
20150100220
Available
#
4th Floor-i3L Library 572.8 Zih c
20150100219
Available
#
4th Floor-i3L Library 572.8 Zih c
20150100218
Available
#
4th Floor-i3L Library 572.8 Zih c
20170200006
Available
Detail Information
Series Title
-
Call Number
572.8 Zih c
Publisher
Oxford : Oxford University Press., 2013
Collation
xvi, 357 p. : ill. : ind. ; 24 cm.
Language
English
ISBN/ISSN
9780198567028
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Molecular evolution--Mathematical models.
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

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Indonesia International Institute for Life Sciences - Learning Resources Center
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About Us

i3L Learning Resources Center (LRC) is vital part of your academic experience at Indonesia International Institute for Life-Sciences. LRC exists to support the teaching, learning and research programs of the Institute through the provision of high quality services and facilities which include access to a range of printed and digital resources primarily in the field of life-sciences and business. 

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